VECTORNET: PUTTING VECTORS ON THE MAP

VectorNet: Putting Vectors on the Map

Public and animal health authorities face many challenges in surveillance and control of vector-borne diseases.Those SENNA LEAVES challenges are principally due to the multitude of interactions between vertebrate hosts, pathogens, and vectors in continuously changing environments.VectorNet, a joint project of the European Food Safety Authority (EFS

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DBPFNet: a double branch parallel fusion neural network method for land subsidence susceptibility mapping with InSAR observation data

Current machine learning methods for land subsidence susceptibility mapping (LSSM) predominantly focus on the spatial features of land subsidence conditioning factors (LSCFs), overlooking the sequence relationships that merger after the superposition of these factors.This often leads to unreliable LSSM results.To address this limitation, this paper

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Activities of Soviet Information Bureau abroad during Great Patriotic War: Effectiveness and Ideological Priorities

The article provides an overview of the main arguments by which the author defines the key role of the Soviet Information Bureau in the deployment of Soviet information and propaganda activities in the international arena during the Great Patriotic war.The paper contains a detailed description of the leading direction of the impact of this state or

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Demonstrating the utility of a drought termination framework: prospects for groundwater level recovery in England and Wales in 2018 or beyond

During prolonged droughts, information is needed about when and how the extreme event is likely to terminate.A drought termination framework based on historical data comprising current rate and historical ensemble approaches is presented here for assessing the prospects of groundwater level recovery.The current rate approach is evaluated across all

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